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Usage Information

Loss of ABCG1 influences regulatory T cell differentiation and atherosclerosis
Hsin-Yuan Cheng, Dalia E. Gaddis, Runpei Wu, Chantel McSkimming, LaTeira D. Haynes, Angela M. Taylor, Coleen A. McNamara, Mary Sorci-Thomas, Catherine C. Hedrick
Hsin-Yuan Cheng, Dalia E. Gaddis, Runpei Wu, Chantel McSkimming, LaTeira D. Haynes, Angela M. Taylor, Coleen A. McNamara, Mary Sorci-Thomas, Catherine C. Hedrick
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Research Article Inflammation

Loss of ABCG1 influences regulatory T cell differentiation and atherosclerosis

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Abstract

ATP-binding cassette transporter G1 (ABCG1) promotes cholesterol accumulation and alters T cell homeostasis, which may contribute to progression of atherosclerosis. Here, we investigated how the selective loss of ABCG1 in T cells impacts atherosclerosis in LDL receptor–deficient (LDLR-deficient) mice, a model of the disease. In LDLR-deficient mice fed a high-cholesterol diet, T cell–specific ABCG1 deficiency protected against atherosclerotic lesions. Furthermore, T cell–specific ABCG1 deficiency led to a 30% increase in Treg percentages in aorta and aorta-draining lymph nodes (LNs) of these mice compared with animals with only LDLR deficiency. When Abcg1 was selectively deleted in Tregs of LDLR-deficient mice, we observed a 30% increase in Treg percentages in aorta and aorta-draining LNs and reduced atherosclerosis. In the absence of ABCG1, intracellular cholesterol accumulation led to downregulation of the mTOR pathway, which increased the differentiation of naive CD4 T cells into Tregs. The increase in Tregs resulted in reduced T cell activation and increased IL-10 production by T cells. Last, we found that higher ABCG1 expression in Tregs was associated with a higher frequency of these cells in human blood samples. Our study indicates that ABCG1 regulates T cell differentiation into Tregs, highlighting a pathway by which cholesterol accumulation can influence T cell homeostasis in atherosclerosis.

Authors

Hsin-Yuan Cheng, Dalia E. Gaddis, Runpei Wu, Chantel McSkimming, LaTeira D. Haynes, Angela M. Taylor, Coleen A. McNamara, Mary Sorci-Thomas, Catherine C. Hedrick

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 1,142 119
PDF 316 17
Figure 1,164 2
Table 125 0
Supplemental data 151 3
Citation downloads 272 0
Totals 3,170 141
Total Views 3,311
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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